from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(against_lib="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 1.951474 | 0.179328 | NaN | ... | brute | -1 | 1 | 0.663 | 0.309464 | 0.001832 | 1.000 | 6.305983 | 6.306093 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.024814 | 0.001929 | NaN | ... | brute | -1 | 1 | 1.000 | 18.169570 | 0.031776 | 0.757 | 0.001366 | 0.001366 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.721689 | 0.029252 | NaN | ... | brute | -1 | 5 | 0.757 | 18.296084 | 0.120257 | 0.882 | 0.148758 | 0.148761 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.064564 | 0.003485 | NaN | ... | brute | 1 | 100 | 0.882 | 0.314076 | 0.005275 | 1.000 | 6.573464 | 6.574391 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.022841 | 0.000331 | NaN | ... | brute | 1 | 100 | 1.000 | 18.390492 | 0.146075 | 0.757 | 0.001242 | 0.001242 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.765083 | 0.021127 | NaN | ... | brute | -1 | 100 | 0.882 | 18.274268 | 0.018586 | 0.663 | 0.151310 | 0.151310 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.046789 | 0.002251 | NaN | ... | brute | 1 | 5 | 0.757 | 0.237584 | 0.004532 | 1.000 | 8.614994 | 8.616562 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.022612 | 0.000737 | NaN | ... | brute | 1 | 5 | 1.000 | 3.661672 | 0.008778 | 0.922 | 0.006175 | 0.006175 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.221240 | 0.041680 | NaN | ... | brute | 1 | 1 | 0.663 | 3.709223 | 0.011762 | 0.929 | 0.329244 | 0.329246 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.726383 | 0.025467 | NaN | ... | brute | -1 | 1 | 0.896 | 0.238396 | 0.003621 | 1.000 | 7.241664 | 7.242499 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.003634 | 0.000463 | NaN | ... | brute | -1 | 1 | 1.000 | 3.647751 | 0.008580 | 0.922 | 0.000996 | 0.000996 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.610355 | 0.024594 | NaN | ... | brute | -1 | 5 | 0.922 | 3.704005 | 0.014146 | 0.896 | 0.704739 | 0.704744 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.581 | 0.0 | -1 | 1 | 18.575 | 0.095 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.765 | 0.0 | -1 | 5 | 0.315 | 0.005 | 1.000 | 0.038 | 0.038 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.596 | 0.0 | 1 | 100 | 18.665 | 0.145 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.441 | 0.0 | -1 | 100 | 0.301 | 0.008 | 1.000 | 0.041 | 0.041 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.602 | 0.0 | 1 | 5 | 3.705 | 0.015 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | 6.514 | 0.0 | 1 | 1 | 0.236 | 0.004 | 1.000 | 0.052 | 0.052 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | 0.362 | 0.0 | -1 | 1 | 3.707 | 0.008 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | 0.367 | 0.0 | -1 | 5 | 0.237 | 0.004 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.951 | 0.179 | 0.000 | 0.002 | -1 | 1 | 0.309 | 0.002 | 1.000 | 6.306 | 6.306 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.002 | 0.000 | 0.025 | -1 | 1 | 18.170 | 0.032 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.722 | 0.029 | 0.000 | 0.003 | -1 | 5 | 18.296 | 0.120 | 0.882 | 0.149 | 0.149 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.002 | 0.000 | 0.025 | -1 | 5 | 0.316 | 0.006 | 1.000 | 0.078 | 0.078 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.065 | 0.003 | 0.000 | 0.002 | 1 | 100 | 0.314 | 0.005 | 1.000 | 6.573 | 6.574 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.023 | 0.000 | 0.000 | 0.023 | 1 | 100 | 18.390 | 0.146 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.765 | 0.021 | 0.000 | 0.003 | -1 | 100 | 18.274 | 0.019 | 0.663 | 0.151 | 0.151 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.003 | 0.000 | 0.024 | -1 | 100 | 0.306 | 0.007 | 1.000 | 0.079 | 0.079 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.047 | 0.002 | 0.000 | 0.002 | 1 | 5 | 0.238 | 0.005 | 1.000 | 8.615 | 8.617 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.023 | 0.001 | 0.000 | 0.023 | 1 | 5 | 3.662 | 0.009 | 0.922 | 0.006 | 0.006 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.221 | 0.042 | 0.001 | 0.001 | 1 | 1 | 3.709 | 0.012 | 0.929 | 0.329 | 0.329 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.000 | 0.000 | 0.022 | 1 | 1 | 0.237 | 0.004 | 1.000 | 0.091 | 0.091 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.726 | 0.025 | 0.000 | 0.002 | -1 | 1 | 0.238 | 0.004 | 1.000 | 7.242 | 7.242 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.004 | 0.000 | 0.000 | 0.004 | -1 | 1 | 3.648 | 0.009 | 0.922 | 0.001 | 0.001 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.610 | 0.025 | 0.000 | 0.003 | -1 | 5 | 3.704 | 0.014 | 0.896 | 0.705 | 0.705 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | 0.000 | 0.006 | -1 | 5 | 0.236 | 0.004 | 1.000 | 0.027 | 0.027 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.779112 | 1.022175 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.626535 | 0.256648 | 1.000 | 0.296631 | 0.298044 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002450 | 0.000471 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 120.837745 | 0.000000 | 0.946 | 0.000020 | 0.000020 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 0.989423 | 0.360718 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 120.160118 | 0.000000 | 0.951 | 0.008234 | 0.008234 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 5.436315 | 0.537301 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 2.581463 | 0.132271 | 1.000 | 2.105905 | 2.108667 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003278 | 0.000979 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 120.749196 | 0.000000 | 0.946 | 0.000027 | 0.000027 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 2.904067 | 0.263187 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 120.204526 | 0.000000 | 0.929 | 0.024159 | 0.024159 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.618465 | 0.201740 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.005016 | 0.000107 | 1.000 | 322.690709 | 322.763779 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001569 | 0.000478 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.037146 | 0.000424 | 0.911 | 0.042245 | 0.042247 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.912997 | 0.326837 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.060256 | 0.003964 | 0.894 | 15.152005 | 15.184764 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.024846 | 0.013165 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.005082 | 0.000127 | 1.000 | 4.889314 | 4.890838 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.001974 | 0.000267 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.037928 | 0.000413 | 0.911 | 0.052048 | 0.052051 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.021764 | 0.001449 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.037536 | 0.000270 | 0.891 | 0.579805 | 0.579820 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 2.877 | 0.194 | 0.028 | 0.0 | -1 | 1 | 121.443 | 0.000 | 0.929 | 0.024 | 0.024 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.551 | 0.162 | 0.023 | 0.0 | -1 | 5 | 2.595 | 0.217 | 1.000 | 1.368 | 1.373 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.535 | 0.169 | 0.023 | 0.0 | 1 | 100 | 120.746 | 0.000 | 0.951 | 0.029 | 0.029 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.455 | 0.058 | 0.023 | 0.0 | -1 | 100 | 2.603 | 0.190 | 1.000 | 1.327 | 1.331 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.569 | 0.200 | 0.022 | 0.0 | 1 | 5 | 0.042 | 0.013 | 0.891 | 84.129 | 87.793 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.426 | 0.035 | 0.023 | 0.0 | 1 | 1 | 0.005 | 0.000 | 1.000 | 681.254 | 681.333 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.022 | 0.0 | -1 | 1 | 0.060 | 0.000 | 0.894 | 0.012 | 0.012 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.102 | 0.102 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.779 | 1.022 | 0.000 | 0.001 | -1 | 1 | 2.627 | 0.257 | 1.000 | 0.297 | 0.298 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 120.838 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.989 | 0.361 | 0.000 | 0.001 | -1 | 5 | 120.160 | 0.000 | 0.951 | 0.008 | 0.008 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 2.639 | 0.298 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.436 | 0.537 | 0.000 | 0.005 | 1 | 100 | 2.581 | 0.132 | 1.000 | 2.106 | 2.109 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 120.749 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 2.904 | 0.263 | 0.000 | 0.003 | -1 | 100 | 120.205 | 0.000 | 0.929 | 0.024 | 0.024 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 2.598 | 0.187 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.618 | 0.202 | 0.000 | 0.002 | 1 | 5 | 0.005 | 0.000 | 1.000 | 322.691 | 322.764 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.037 | 0.000 | 0.911 | 0.042 | 0.042 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.913 | 0.327 | 0.000 | 0.001 | 1 | 1 | 0.060 | 0.004 | 0.894 | 15.152 | 15.185 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.005 | 0.000 | 1.000 | 0.214 | 0.214 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.013 | 0.001 | 0.000 | -1 | 1 | 0.005 | 0.000 | 1.000 | 4.889 | 4.891 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.038 | 0.000 | 0.911 | 0.052 | 0.052 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.022 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.038 | 0.000 | 0.891 | 0.580 | 0.580 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.379 | 0.379 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.105738 | 0.000401 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.406288 | 0.011753 | 1.0 | 0.260253 | 0.260362 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 94.92 | 0.0 | 300 | 0.001 | 0.001 | 0.494 | 0.027 | 0.824 | 192.022 | 192.311 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.106 | 0.0 | 300 | 0.008 | 0.0 | 0.406 | 0.012 | 1.0 | 0.26 | 0.26 | See | See |